Vasileios Lampos

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Ingemar J. CoxUniversity College LondonVerified email at ieee.org
Nikolaos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
Nello CristianiniUniversity of BristolVerified email at bristol.ac.uk
Daniel Preotiuc-PietroBloomberg LPVerified email at bloomberg.net
Elad Yom-TovMicrosoft ResearchVerified email at yom-tov.info
Bin ZouUniversity College LondonVerified email at cs.ucl.ac.uk
Michael EdelsteinConsultant Epidemiologist, Public Health England and Research fellow, Centre on Global HealthVerified email at phe.gov.uk
Tom Lansdall-WelfareRipjar LtdVerified email at ripjar.com
Dimitrios TsarapatsanisLecturer in Law, University of YorkVerified email at york.ac.uk
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Anne M JohnsonProfessor of epidemiology UCLVerified email at ucl.ac.uk
Alberto AcerbiCentre for Culture and Evolution, Brunel University LondonVerified email at brunel.ac.uk
R. Alexander BentleyProfessor, University of TennesseeVerified email at utk.edu
Richard PebodyConsultant Epidemiologist, Public Health EnglandVerified email at phe.gov.uk
Andrew HaywardUCL Institute of Epidemiology and Health CareVerified email at ucl.ac.uk
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Deenan PillayVerified email at africacentre.ac.za
Jobie BuddUniversity College LondonVerified email at ucl.ac.uk
Benjamin S. MillerUniversity College LondonVerified email at ucl.ac.uk
Mengdie ZhuangUniversity of SheffieldVerified email at sheffield.ac.uk

Vasileios Lampos

Associate Professor, Computer Science, University College London

Verified email at ucl.ac.uk - Homepage

Machine Learning Natural Language Processing Digital Epidemiology Computational Epidemiology Computational Social Science


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Flu Detector - Tracking Epidemics on Twitter V Lampos, T De Bie, N Cristianini ECML PKDD, 599-602, 2010	452*	2010
Tracking the flu pandemic by monitoring the Social Web V Lampos, N Cristianini 2nd International Workshop on Cognitive Information Processing (CIP), 411-416, 2010	450	2010
Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective N Aletras, D Tsarapatsanis, D Preoţiuc-Pietro, V Lampos PeerJ Computer Science 2, e93, 2016	432	2016
Digital technologies in the public-health response to COVID-19 J Budd, BS Miller, EM Manning, V Lampos, M Zhuang, M Edelstein, ... Nature Medicine 26, 1183-1192, 2020	268	2020
Nowcasting Events from the Social Web with Statistical Learning V Lampos, N Cristianini ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4:72), 2012	258	2012
Studying User Income through Language, Behaviour and Affect in Social Media D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras PLoS ONE 10 (9), e0138717, 2015	212	2015
An analysis of the user occupational class through Twitter content D Preotiuc-Pietro, V Lampos, N Aletras Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	198	2015
The Expression of Emotions in 20th Century Books A Acerbi, V Lampos, P Garnett, RA Bentley PLoS ONE 8 (3), e59030, 2013	148	2013
Advances in nowcasting influenza-like illness rates using search query logs V Lampos, AC Miller, S Crossan, C Stefansen Scientific Reports 5, 2015	123	2015
Effects of the Recession on Public Mood in the UK T Lansdall-Welfare, V Lampos, N Cristianini Proceedings of WWW '12 (Companion), 1221-1226, 2012	118	2012
A user-centric model of voting intention from Social Media V Lampos, D Preotiuc-Pietro, T Cohn Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	96	2013
Predicting and Characterising User Impact on Twitter V Lampos, N Aletras, D Preoţiuc-Pietro, T Cohn Proceedings of the 14th Conference of the European Chapter of the …, 2014	83	2014
Tracking COVID-19 using online search V Lampos, MS Majumder, E Yom-Tov, M Edelstein, S Moura, Y Hamada, ... npj Digital Medicine 4 (17), 2021	72*	2021
Books Average Previous Decade of Economic Misery RA Bentley, A Acerbi, P Ormerod, V Lampos PLoS ONE 9 (1), e83147, 2014	68	2014
Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language V Lampos, N Aletras, JK Geyti, B Zou, IJ Cox Proceedings of the 38th European Conference on Information Retrieval (ECIR …, 2016	57	2016
Enhancing feature selection using word embeddings: The case of flu surveillance V Lampos, B Zou, IJ Cox Proceedings of the 26th International World Wide Web Conference, 695-704, 2017	50	2017
On Infectious Intestinal Disease Surveillance using Social Media Content B Zou, V Lampos, R Gorton, IJ Cox 6th International Conference on Digital Health (DH '16), 2016	50	2016
Nowcasting the mood of the nation T Lansdall‐Welfare, V Lampos, N Cristianini Significance 9 (4), 26-28, 2012	49	2012
Multi-Task Learning Improves Disease Models from Web Search B Zou, V Lampos, I Cox Proceedings of the 2018 World Wide Web Conference, 87-96, 2018	34	2018
Analysing Mood Patterns in the United Kingdom through Twitter Content V Lampos, T Lansdall-Welfare, R Araya, N Cristianini Computing Research Repository (CoRR) arXiv:1304.5507, 2013	34	2013

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